Engineering Manager, Discovery Experience
DoorDash USA
| Company | DoorDash USA |
| Category | Uncategorised |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 17 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About the Team
DoorDash is looking for an Engineering Manager to lead our Discovery Experience team, which owns the Homepage - DoorDash’s front door. It’s the first screen millions of consumers see every day, and since every session starts there, it’s the highest-leverage surface in the consumer funnel: a more personalized recommendation, a faster render, or a cleaner layout can move the metrics the whole company watches.
The Homepage spans restaurants, grocery, and emerging verticals across iOS, Android, and Web. We’re rebuilding it around LLM-generated recommendations, shifting discovery from static, rules-based feeds to generative, intent-driven experiences that respond to real-time signals in the moment.
About the Role
You will lead and grow a team of product-focused full stack engineers, owning both the product and technical direction for the discovery surface - deciding where discovery goes next and how it’s built. You’ll set the roadmap and drive execution alongside Product, Design, Data Science, and ML/Recommendation Platform partners, and you’ll own the quality, velocity, and consumer impact your team ships. It’s a role with real ownership and the room to grow both the product and the team behind it.
You’re excited about this opportunity because you will…
Own the Homepage end to end, the highest-traffic surface at DoorDash and where every consumer session begins
Turn Homepage bets into company-level outcomes: real lift in conversion and order rate for millions of consumers
Define discovery quality for DoorDash: getting the right store, restaurant, or item in front of the right consumer at the right moment
Ship LLM-gen recommendations and intent-aware discovery that route consumers to the right experience across food, grocery, retail, and emerging verticals
Partner across Product, Design, Data Science, and ML/Recommendation Platform teams to shape the discovery roadmap and ship the experiences behind it
Build an inclusive, high-performing team by coaching engineers, supporting career growth, and scaling the org as impact grows
Drive product velocity while holding a high bar for reliability, performance, and user experience
Architect the backend systems and APIs that assemble a fast, personalized Homepage across iOS, Android, and Web
We’re excited about you because…
You have a B.S., M.S., or Ph.D. in Computer Science or equivalent
You have 7+ years of industry experience, including minimum of 2 years of management experience
You have experience managing engineering disciplines across BE + Android + iOS + Web
You bring in strong product sense and can be a thought partner with cross-functional peers
You have hands-on experience working with non-technical stakeholders, cross-team collaboration, and building scalable products in a fast-paced environment
You have the ability to handle ambiguity and work with product and business partners to collect non-technical requirements to design and build scalable experience solutions
You have the ability to guide and grow an excellent engineering team in a rapidly changing business environment
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skill
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